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20 Best Figma MCP Servers: compared and ranked, November 2026Ranked from 369 matching servers on stars, growth, downloads and maintenance. Updated .

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    Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.
    7
    23 npm
    MIT
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    quality
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    Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.
    5
    23 npm
    MIT
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    Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.
    65
    1,377 npm
    1
    MIT
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    Extracts SVG icons from Figma and generates React TSX icon components automatically, enabling AI assistants like GitHub Copilot and Claude to manage icon workflows.
    2
    9 npm
    1
    MIT
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    Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.
    2
    1
    119 npm
    MIT
  • A
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    Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.
    6
    436 npm
    MIT
  • A
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    Convert files between 400+ image, video, audio, document, spreadsheet, ebook, archive and font formats, with OCR. A thin stdio client for the hosted Convert.Online REST API — it converts nothing itself and no file passes through the process.
    5
    14 npm
    MIT
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    Enables AI agents to read and modify Figma designs programmatically through WebSocket communication, supporting document manipulation, styling, text replacement, and component management.
    42
    5
    -
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    39 PyPI
    29
    Apache 2.0
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    Enables AI assistants to convert recipe amounts between volume and weight for specific ingredients using measured densities, scale recipes, and convert oven temperatures, with source citations and alternative published values.
    4
    318 npm
    MIT
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    Sends document files (EPUB, PDF, DOCX, etc.) to your Kindle via email using Amazon's Send to Kindle feature.
    1
    10 npm
    MIT
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    MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.
    10
    45 npm
    Apache 2.0
  • A
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    Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.
    14
    Apache 2.0
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    MCP server that converts Mermaid diagrams to styled Excalidraw files, saving them directly to disk without token overhead.
    2
    MIT
  • A
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    One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
    4
    3
    MIT
  • A
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    Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.
    4
    MIT